cturan/turkish-synthetic-corpus
Turkish Synthetic Corpus A synthetic Turkish text corpus with 1,871,131 documents, designed for Turkish language model training. About Inspired by HuggingFaceTB/smollm-corpus. Questions and prompts were sourced from the SmolLM Corpus pipeline; a language model then generated localized Turkish responses and documents around them. All credit for the original corpus design and methodology goes to the HuggingFace SmolLM team. The resulting dataset covers a wide range… See the full description on the dataset page: https://huggingface.co/datasets/cturan/turkish-synthetic-corpus.
Turkish Synthetic Corpus
A synthetic Turkish text corpus with 1,871,131 documents, designed for Turkish language model training.
About
Inspired by HuggingFaceTB/smollm-corpus. Questions and prompts were sourced from the SmolLM Corpus pipeline; a language model then generated localized Turkish responses and documents around them. All credit for the original corpus design and methodology goes to the HuggingFace SmolLM team.
The resulting dataset covers a wide range of topics — science, history, culture, economics, coding, fiction — written in natural Turkish prose at varying register levels.
Data Fields
Intended Use
- Turkish LLM pretraining and continued pretraining
- Tokenizer training
- Language modeling benchmarks
Content is synthetic. Factual accuracy is not guaranteed.
Citation
If you use this dataset, please also credit the original SmolLM Corpus:
@software{benallal2024smollmcorpus,
author = {Ben Allal, Loubna and Lozhkov, Anton and Penedo, Guilherme and Wolf, Thomas and von Werra, Leandro},
title = {SmolLM-Corpus},
month = July,
year = 2024,
url = {https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus}
}